Evidence map›Paper›PMID 40806999›Full record

ReviewJournal of clinical medicine2025

Utility of Enabling Technologies in Spinal Deformity Surgery: Optimizing Surgical Planning and Intraoperative Execution to Maximize Patient Outcomes.

Nora C Kim, Eli Johnson, Christopher DeWald, Nathan Lee, Timothy Y Wang

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nora C KimDepartment of Neurosurgery, NYU Grossman School of Medicine, New York, NY 10016, USA.
Eli JohnsonDepartment of Neurosurgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0003-1960-0789
Christopher DeWaldDepartment of Neurosurgery, Rush University Medical Center, Chicago, IL 60612, USA.
Nathan LeeMidwest Orthopaedics at Rush, Chicago, IL 60612, USA.
Timothy Y WangDepartment of Neurosurgery, Rush University Medical Center, Chicago, IL 60612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of adult spinal deformity (ASD) has evolved dramatically over the past century, transitioning from external bracing and in situ fusion to complex, technology-driven surgical interventions. This review traces the historical development of spinal deformity correction and highlights contemporary enabling technologies that are redefining the surgical landscape. Advances in stereoradiographic imaging now allow for precise, low-dose three-dimensional assessment of spinopelvic parameters and segmental bone density, facilitating individualized surgical planning. Robotic assistance and intraoperative navigation improve the accuracy and safety of instrumentation, while patient-specific rods and interbody implants enhance biomechanical conformity and alignment precision. Machine learning and predictive modeling tools have emerged as valuable adjuncts for risk stratification, surgical planning, and outcome forecasting. Minimally invasive deformity correction strategies, including anterior column realignment and circumferential minimally invasive surgery (cMIS), have demonstrated equivalent clinical and radiographic outcomes to traditional open surgery with reduced perioperative morbidity in select patients. Despite these advancements, complications such as proximal junctional kyphosis and failure remain prevalent. Adjunctive strategies-including ligamentous tethering, modified proximal fixation, and vertebral cement augmentation-offer promising preventive potential. Collectively, these innovations signal a paradigm shift toward precision spine surgery, characterized by data-informed decision-making, individualized construct design, and improved patient-centered outcomes in spinal deformity care.

Indexed as

adult spinal deformityadvanceschallengesscoliosistechnology

Identifiers

PMID40806999
PMCPMC12346929

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.